Notes app full of half-baked ideas?
Built something nobody wanted?
Done betting six months on a hunch?
Should you build your idea?
Find out in 8 minutes.
ChatGPT will say yes to anything. Olune pressure-tests your startup idea in 8 minutes (real Reddit threads, keyword volume, competitor maps) and gives you a straight build-or-kill verdict. With receipts.
For builders who've shipped one thing nobody wanted and don't want to do it twice.
What Olune
actually does.
Spill it.
Dump them all in. The half-baked ones, the 3 a.m. ones, the "what if" ones. Do not filter, do not polish. The weaker ideas around the keeper are how Olune works out which one you actually believe in.
Score the keeper.
Rate one on gut feel: what excites you, who it is for, why now. Two minutes, no forms, no pitch deck. The point is to force a real answer instead of "they all kind of fit."
Send in the robots.
Three agents fan out: Reddit for the gripes, the web for the rivals, public search data for the volume. Eight minutes later you get the verdict (cook it, look closer, or kill it) with the data behind every call.
- ↗Pain: 142 upvotes on r/vetcare in 30 days
- ↗Competitors: 2 weak, 0 dominant
- ↗Demand: 2,300 searches a month
- ↘Why now: their booking system changed in January
Three real verdicts. One of each.
See all verdicts →Real teardowns from the Verdict library. Every call links to the evidence behind it. Tap one to read the full breakdown.
- ↗Vet subreddits and Facebook groups are full of "I spend two hours every night finishing records" posts. The pain is named, repeated, and emotional.
- ↗The well-funded scribes (Abridge, Nuance DAX) chase hospital systems and human doctors. Vet practice-management incumbents have not shipped ambient AI. The lane is open.
- ~Search volume for "veterinary scribe software" is modest. This is sold, not searched, so distribution leans on practice networks and conferences, not SEO.
- ↗"SOC 2 automation" and "get SOC 2 compliant" show steady commercial-intent volume. The market is educated and actively buying.
- ↘Vanta and Drata dominate, with auditor partnerships and large integration catalogues. The category default is already set.
- ~Founders complain about incumbent pricing and bloat, which hints at a budget-tier or niche wedge, but nobody is desperate for a fifth generic option.
- ↘Hundreds of meal-planning apps already exist, plus free general chatbots that do it on request. The category is saturated and commoditised.
- ~Search volume is huge but informational ("meal plan ideas") not commercial. People want the free answer, not a subscription.
- ↘Reviews of existing apps are full of churn and "I just stopped using it." Engagement collapses after the novelty week.
What you walk away with. No fluff.
Hover to pull one off the pile
Real Reddit gripes.
Direct threads where people complain, not paraphrased "AI insight."
Live keyword volume.
Public search data so you know whether anyone is actually looking for this.
A competitor map.
Who is already shipping it, with Product Hunt launches and positioning, so you do not reinvent something that died last year.
An honest verdict.
Cook it, look closer, or kill it. No "interesting potential," no participation trophies.
Receipts behind every call.
Every claim links to its source. Go check it yourself, do not just trust us.
Three free ideas a day.
No card, no commitment. Try it before you trust it.
Just want to DIY it?
Here's the prompt.
I'm thinking about building [YOUR IDEA]. Score it 1-5 across these seven dimensions: pain, fit, reach, willingness-to-pay, advantage, buildability, competition. Be brutally honest. Don't hedge. End with a verdict: cook it, sleep on it, or kill it. Explain why.
You'll get back something like:
“Great idea! I'd score it 4/5 on pain, there's clearly a gap in the market. 4/5 on fit too, your background aligns well…”
The LLM does not know if there is a gap. It cannot see Reddit. It cannot check search volume. It was trained to agree with you, and it will.
Olune does not ask the LLM what it thinks. It pulls the receipts.
A sparring partner,
not a cheerleader.
ChatGPT brainstorms with you. It was trained to be helpful, which mostly means agreeable. Ask it if your idea is good and it will find ten reasons it might be.
Olune does not ask an LLM what it thinks. It pulls receipts: Reddit threads where people complain, keyword volume showing if anyone is actually searching, competitors already in market. Then it runs them through frameworks designed to surface the truth, not soothe you.
You bring the idea. We bring the truth.
What you do with it is on you.
Questions builders
actually ask.
How accurate are the verdicts?
As accurate as the receipts behind them. The verdict is a synthesis of real signals (Reddit threads, search volume, competitor data) run through scoring frameworks. We show every source so you can audit the call yourself. It is not a magic 8-ball. It is a structured second opinion.
What does the full output actually look like?
A verdict (Cook it, Sleep on it, or Kill it) with a 1-5 score across 7 dimensions (pain, fit, reach, willingness to pay, advantage, buildability, competition), plus the raw evidence: keyword volumes, competitor names, and the actual Reddit threads that surfaced the demand. Plus a follow-on action: an interview script, smoke-test landing copy, or a freebie distribution plan.
Will Olune just kill all my ideas?
No. Look at the three real verdicts above: one cook, one sleep, one kill. The point is not to be brutal. It is to be honest. When an idea has legs, Olune says cook it. When it does not, you save the months you would have spent building it.
Where does the data come from?
Reddit (pain-point and complaint signals), Hacker News threads, keyword search volume from public sources, and competitor mapping that includes Product Hunt launches. We show you which threads and which rivals fed the verdict. No black box.
What happens after the 3-a-day limit?
The page shows a wall asking you to come back tomorrow or sign up to lift the limit (still free). Your in-progress validation is saved, so you will not lose work. We do not auto-charge, do not ask for a card, and do not email you unsolicited.
How is this different from ChatGPT?
ChatGPT cannot query Reddit, cannot pull keyword volume, and is trained to be helpful, which often means agreeing with you. Olune is built around the data, not the LLM.
Got a hunch?
Let's see if it holds.
Eight minutes from gut feeling to grounded answer. Three a day, free, no card.
Test an idea for free